A PROXY MODEL TO PREDICT WATERFLOODING PERFORMANCE IN CHANNELING DELTAIC SAND RESERVOIR
In recent days, waterflooding activities carried out as a part of secondary recovery. Before performing waterflooding, engineers have to perform reservoir simulation first to predict reservoir performance in order to waterflood. Generally, reservoir simulation is conducted by using numerical simul...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/41896 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In recent days, waterflooding activities carried out as a part of secondary recovery. Before performing
waterflooding, engineers have to perform reservoir simulation first to predict reservoir performance in order to
waterflood. Generally, reservoir simulation is conducted by using numerical simulation method. Numerical
simulation gives precise results although it depens on the availiability, quality, and quantity of reservoir
characteristic and injection operation data. In addition, numerical simulation also time-consuming and quite
complex to use. Proxy model is kind of machine learning. It’s able to predict performance of waterflooding quickly
and easier to use. The result isn’t differ too much with numerical simulation method. Proxy model is an equation
model that construct form quite many experiment data. This research is trying to predict performance of normal
5 spot waterflooding in reservoir with channeling deltaic sand sedimentation by using proxy model. The proxy
model will be tested on a real field case. The results indicate that proxy model is able, faster, reliable and easy to
use to predict waterflooding performance in such type of reservoir. |
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